Fetal EchoScan vs EchoNext

Similar category, different focus. These tools serve overlapping but distinct needs. Comparability 65/100 Comparability is an AI-graded 0–100 score of how directly these two tools compete — higher means a more apples-to-apples comparison.
by Brightheart
VS
by Pathway Labs

AI Verdict

Fetal EchoScan and EchoNext are both FDA-cleared AI tools focused on cardiac health, but they operate at different stages of life and use different diagnostic inputs. Fetal EchoScan assists clinicians in the prenatal detection of congenital heart defects using ultrasound, ensuring comprehensive exams and optimizing workflow for expectant mothers. In contrast, EchoNext analyzes standard ECGs to detect hidden structural heart disease in existing patients, including heart failure, valve disease, and pulmonary hypertension.

Choose Fetal EchoScan if…

Choose Fetal EchoScan if your practice focuses on prenatal care and requires AI-powered assistance during fetal ultrasound examinations. This tool is ideal for maternal-fetal medicine specialists and cardiologists aiming to improve the prenatal detection of congenital heart defects, ensure comprehensive exams, and optimize workflow during real-time scans. It helps reduce false-negative and false-positive errors in CHD detection and integrates seamlessly with existing ultrasound machines.

View Fetal EchoScan →

Choose EchoNext if…

Choose EchoNext if your practice seeks an efficient, non-invasive method to screen for hidden structural heart disease in a broad patient population using standard ECGs. This tool is well-suited for cardiologists, family medicine practitioners, and internal medicine specialists who need to identify risks for heart failure, valve disease, and pulmonary hypertension, potentially before symptoms appear. Its deployment through a clinical decision support platform allows for broad access, from major hospitals to community practices.

View EchoNext →

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature Fetal EchoScan EchoNext
Pricing Contact for pricing Starts at $600/month
Deployment Cloud-based software-only device, integrates with existing ultrasound workflows. Available through the OpenEvidence clinical decision support platform.
BAA Available Unknown Yes AI-estimated
FDA Status 1 AI-estimated Yes AI-estimated
HIPAA Unknown Yes AI-estimated

Head-to-Head

AI-generated assessment across six dimensions based on each tool's documented features and compliance posture. Grounded in public data — not a substitute for hands-on evaluation.

Usability

Fetal EchoScan

Fetal EchoScan offers real-time guidance and feedback during ultrasound scans, with a cart-side tablet display for immediate AI analysis and alerts, which directly enhances the sonographer's workflow and confidence. EchoNext, while integrating with the OpenEvidence platform, doesn't specify real-time interactive features during the ECG acquisition itself, focusing more on post-acquisition analysis.

Clinical Value

EchoNext

EchoNext has demonstrated high accuracy in detecting a range of structural heart problems, outperforming cardiologists in head-to-head comparisons, and has been credited with guiding care that led to a heart transplant. Fetal EchoScan shows strong performance in detecting major CHDs and reducing false positives/negatives, and improving exam completeness, but EchoNext's direct impact on patient outcomes, such as facilitating a heart transplant, highlights a higher level of demonstrated clinical value.

Pricing & Value

EchoNext

EchoNext provides transparent tiered pricing starting at $600/month, with details on discounts and add-ons, allowing potential customers to understand costs upfront. Fetal EchoScan requires contacting the vendor for pricing, which lacks transparency and makes it difficult to assess its value proposition without direct engagement.

Enterprise Readiness

EchoNext

EchoNext is deployed through the OpenEvidence clinical decision support platform, which is used by a significant number of U.S. physicians, indicating a robust and scalable deployment strategy for broad access across various clinical settings. Fetal EchoScan is cloud-based and integrates with existing ultrasound workflows, but its enterprise reach and established platform integration are not as explicitly detailed as EchoNext's.

Innovation

EchoNext

EchoNext is highlighted as the world's first FDA-approved AI detection tool to analyze ECGs for hidden structural heart disease, representing a novel approach to early detection using a widely available and inexpensive test. While Fetal EchoScan offers innovative AI-driven support for prenatal ultrasound, EchoNext's ability to extract complex structural heart disease information from a standard ECG, a test traditionally not used for this purpose, demonstrates a more significant innovative leap.

Support & Docs

Tie

Both tools are FDA-cleared, implying a certain level of documentation and regulatory support. However, specific details regarding ongoing customer support, training programs, or publicly available documentation (beyond product descriptions and clinical studies) are not provided for either tool in the given information or readily available through general web searches. Therefore, it is difficult to distinguish between the two in this dimension.

Feature-by-Feature

Detail beyond the Quick Comparison summary. For pricing, deployment, BAA, FDA, and HIPAA see the Overview tab.

Feature Fetal EchoScan EchoNext
Tool Name Fetal EchoScan EchoNext
Company Brightheart Pathway Labs
Description FDA-cleared AI-powered ultrasound screening software that assists clinicians in the prenatal detection of congenital heart defects, ensuring comprehensive exams and optimizing workflow. FDA-cleared AI tool that analyzes standard ECGs to detect hidden structural heart disease, including heart failure, valve disease, and pulmonary hypertension.
Primary Function Prenatal detection of congenital heart defects (CHDs) using ultrasound. Detection of hidden structural heart disease from standard ECGs.
Categories Cardiology AI, OB/GYN AI Cardiology AI, Clinical Decision Support & Reference, Lab & Diagnostics
Specialties Cardiology, Maternal-Fetal Medicine, Radiology Cardiology, Family Medicine, Hospital Medicine, Internal Medicine
Key Features AI-driven support for prenatal ultrasound examinations, automated detection of congenital heart defects (CHDs), real-time guidance and feedback during ultrasound scans, ensures exam completeness and standardization of fetal heart assessments, reduces false-negative and false-positive errors in CHD detection, optimized workflow and faster reading times for clinicians, seamless integration with existing ultrasound machines and reporting solutions (DICOM compatible), cart-side tablet display for real-time AI analysis and alerts. AI-powered ECG analysis, detection of hidden structural heart disease, identifies heart failure risk, screens for valve disease, detects pulmonary hypertension indicators, utilizes standard 12-lead ECGs, FDA-cleared technology, non-invasive diagnostic support.

Videos

Demos, reviews, and walkthroughs featuring Fetal EchoScan and EchoNext.

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Frequently Asked Questions

Fetal EchoScan is designed for seamless integration as a plug-and-play solution within existing ultrasound workflows, compatible with major ultrasound manufacturers and reporting solutions (DICOM compatible). EchoNext integrates with the OpenEvidence clinical decision support platform, which is used by many physicians, allowing its screening outputs to be embedded directly into common clinical workflows without requiring a separate system.
Fetal EchoScan boasts a 96% detection rate for major congenital heart defects, an 88% reduction in false-positive errors, and a 70% reduction in false-negative errors. EchoNext demonstrated superior diagnostic accuracy compared to expert cardiologists, identifying 77% of structural heart problems from ECGs compared to cardiologists' 64% accuracy in a head-to-head comparison.
Fetal EchoScan is designed to provide real-time guidance and feedback during ultrasound scans, ensuring exam completeness and standardization, which suggests a supportive learning environment for sonographers and maternal-fetal medicine specialists. EchoNext analyzes standard ECGs, a routine test, and its integration with the OpenEvidence platform aims for broad accessibility, potentially simplifying its adoption for cardiologists and primary care physicians.
While specific details on Brightheart's customer support and training are not provided, Fetal EchoScan's tagline emphasizes saving time and delivering expert-level screening, implying a focus on user enablement. Pathway Labs aims to integrate EchoNext into real workflows across health systems at a national scale, suggesting a commitment to supporting widespread adoption.
Fetal EchoScan provides AI-driven support for prenatal ultrasound examinations, including automated detection and real-time guidance, which would inherently contribute to a detailed record of the screening process. EchoNext analyzes ECG data and identifies high-risk patients, and its integration with a clinical decision support platform would likely include features for documenting these AI-driven insights within the patient's record.
Fetal EchoScan is described as a cloud-based software-only device that integrates with existing ultrasound workflows, suggesting flexibility for multi-site deployment. EchoNext has been validated in studies across more than 20 hospitals and 500,000 patients in the U.S. and Canada, demonstrating robust performance across diverse clinical contexts, including outpatient, inpatient, and emergency care settings, which supports multi-site rollout.
A physician's choice depends on their specialty and patient population: Fetal EchoScan is for prenatal detection of congenital heart defects during ultrasound screenings, primarily for cardiology, maternal-fetal medicine, and radiology. EchoNext is for analyzing standard ECGs to detect hidden structural heart disease in a broader adult population, suitable for cardiology, family medicine, hospital medicine, and internal medicine.

Backers

Who funded each tool's parent company.

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